Release v0.3.0#660
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kmontemayor2-sc
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shall we also update CHANGELOG?
…orkers get_graph_store_info() reads get_resource_config() to build the readiness URI (added in #533), but the launched Vertex AI workers had no GIGL_RESOURCE_CONFIG_URI in their env, so they failed with "No resource config provided". Inject it via the compute pool's environment_variables, which launch_graph_store_job propagates to both compute and storage pools. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…test workers The test runner's resource config URI may be a local path that does not exist on the worker Docker image, so passing it directly to the workers via GIGL_RESOURCE_CONFIG_URI would not be readable. Instead, upload the in-memory resource config to the regional bucket (accessible to workers over GCS), pass that URI to the workers, and delete it in tearDown. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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GiGL Automation@ 16:25:19UTC : 🔄 @ 17:40:41UTC : ✅ Workflow completed successfully. |
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GiGL Automation@ 16:34:00UTC : Starting to build base images for CUDA and CPU. |
GiGL Automation@ 16:44:21UTC : Built and pushed new images:
Updated |
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GiGL Automation@ 16:52:57UTC : 🔄 @ 18:07:09UTC : ✅ Workflow completed successfully. |
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@svij-sc me and @mkolodner-sc are testing the change, long story short there's some bugs in our tests were just re-surfaced with this release, I have #666 as a separate PR if this works. And I'm working on a different change (PR coming soon) for a more wholistic fix that doesn't rely on the base images for the tests |
…w image names" This reverts commit e16e2ba.
Release v0.3.0
This updates and releases GiGL version from
0.2.0to0.3.0.Info:
What's Next:
Please create a new release from the tag.
This PR was automatically created by the Create Release workflow.